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Stochastic human motion prediction (HMP) has generally been tackled with generative adversarial networks and variational autoencoders.
Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Look like me: matching robot personality via gaze to increase motivation
Sean Andrist, Bilge Mutlu, and Adriana Tapus · 2015
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Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Deep unsupervised clustering with gaussian mixture variational autoencoders
Nat Dilokthanakul, Pedro AM Mediano, Marta Garnelo, Matthew CH Lee, Hugh Salimbeni, Kai Arulkumaran, and Murray Shanahan · 2016
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Structural-rnn: Deep learning on spatio-temporal graphs
Ashesh Jain, Amir R Zamir, Silvio Savarese, and Ashutosh Saxena · 2016
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
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Deligan: Generative adversarial networks for diverse and limited data
Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, and R Venkatesh Babu · 2017
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On human motion prediction using recurrent neural networks
Julieta Martinez, Michael J Black, and Javier Romero · 2017
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The pose knows: Video forecasting by generating pose futures
Jacob Walker, Kenneth Marino, Abhinav Gupta, and Martial Hebert · 2017
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Hp-gan: Probabilistic 3d human motion prediction via gan
Emad Barsoum, John Kender, and Zicheng Liu · 2018
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Accurate and diverse sampling of sequences based on a “best of many” sample objective
Apratim Bhattacharyya, Bernt Schiele, and Mario Fritz · 2018
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Adversarial geometry-aware human motion prediction
Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, and José MF Moura · 2018
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Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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Convolutional sequence to sequence model for human dynamics
Chen Li, Zhen Zhang, Wee Sun Lee, and Gim Hee Lee · 2018
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Quaternet: A quaternion-based recurrent model for human motion
Dario Pavllo, David Grangier, and Michael Auli · 2018
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Film: Visual reasoning with a general conditioning layer
Ethan Perez, Florian Strub, Harm De Vries, Vincent Dumoulin, and Aaron Courville · 2018
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Mt-vae: Learning motion transformations to generate multimodal human dynamics
Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, and Honglak Lee · 2018
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Bihmp-gan: Bidirectional 3d human motion prediction gan
Jogendra Nath Kundu, Maharshi Gor, and R. Venkatesh Babu · 2019
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Towards natural and accurate future motion prediction of humans and animals
Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, and Li Cheng · 2019
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Amass: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F Troje, Gerard Pons-Moll, and Michael J Black · 2019
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Learning trajectory dependencies for human motion prediction
Wei Mao, Miaomiao Liu, Mathieu Salzmann, and Hongdong Li · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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On the convergence of adam and beyond
Sashank J Reddi, Satyen Kale, and Sanjiv Kumar · 2019
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Diverse trajectory forecasting with determinantal point processes
Ye Yuan and Kris M Kitani · 2019
Cited alongside, same era.
Learning progressive joint propagation for human motion prediction
Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, et al · 2020
Cited alongside, same era.
Human4d: A human-centric multimodal dataset for motions and immersive media
Anargyros Chatzitofis, Leonidas Saroglou, Prodromos Boutis, Petros Drakoulis, Nikolaos Zioulis, Shishir Subramanyam, Bart Kevelham, Caecilia Charbonnier, Pablo Cesar, Dimitrios Zarpalas, et al · 2020
Cited alongside, same era.
Action2motion: Conditioned generation of 3d human motions
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, and Li Cheng · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Didn’t see that coming: a survey on non-verbal social human behavior forecasting
German Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, and Cristina Palmero · 2022
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Comparison of spatio-temporal models for human motion and pose forecasting in face-to-face interaction scenarios
German Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, and Cristina Palmero · 2022
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Gaudi: A neural architect for immersive 3d scene generation
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander T Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, et al · 2022
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Hit-dvae: Human motion generation via hierarchical transformer dynamical vae
Xiaoyu Bie, Wen Guo, Simon Leglaive, Lauren Girin, Francesc Moreno-Noguer, and Xavier Alameda-Pineda · 2022
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Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, and Qi Tian · 2020
Cited alongside, same era.
History repeats itself: Human motion prediction via motion attention
Wei Mao, Miaomiao Liu, and Mathieu Salzmann · 2020
Cited alongside, same era.
Human motion trajectory prediction: A survey
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M Kitani, Dariu M Gavrila, and Kai O Arras · 2020
Cited alongside, same era.
Grab: A dataset of whole-body human grasping of objects
Omid Taheri, Nima Ghorbani, Michael J Black, and Dimitrios Tzionas · 2020
Cited alongside, same era.
Dlow: Diversifying latent flows for diverse human motion prediction
Ye Yuan, Kris Kitani, Y Yuan, and K Kitani · 2020
Cited alongside, same era.
A spatio-temporal transformer for 3d human motion prediction
Emre Aksan, Manuel Kaufmann, Peng Cao, and Otmar Hilliges · 2021
Cited alongside, same era.
Behavior-driven synthesis of human dynamics
Andreas Blattmann, Timo Milbich, Michael Dorkenwald, and Björn Ommer · 2021
Cited alongside, same era.
Shoufa Chen, Peize Sun, Yibing Song, and Ping Luo · 2022
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Diverse human motion prediction via gumbel-softmax sampling from an auxiliary space
Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, and Guiqing Li · 2022
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Learning disentangled representations for controllable human motion prediction
Chunzhi Gu, Jun Yu, and Chao Zhang · 2022
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Stochastic trajectory prediction via motion indeterminacy diffusion
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu · 2022
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Diffusion-lm improves controllable text generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, and Tatsunori Hashimoto · 2022
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Understanding diffusion models: A unified perspective
Calvin Luo · 2022
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3d human motion prediction: A survey
Kedi Lyu, Haipeng Chen, Zhenguang Liu, Beiqi Zhang, and Ruili Wang · 2022
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Multi-objective diverse human motion prediction with knowledge distillation
Hengbo Ma, Jiachen Li, Ramtin Hosseini, Masayoshi Tomizuka, and Chiho Choi · 2022
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Hr-stan: High-resolution spatio-temporal attention network for 3d human motion prediction
Omar Medjaouri and Kevin Desai · 2022
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Dance motion capture database
Graphics & Extended Reality Lab (University of Cyprus) · 2022
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Chalearn lap challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results
Cristina Palmero, German Barquero, Julio CS Jacques Junior, Albert Clapés, Johnny Núnez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, et al · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Motron: Multimodal probabilistic human motion forecasting
Tim Salzmann, Marco Pavone, and Markus Ryll · 2022
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Diverse human motion prediction guided by multi-level spatial-temporal anchors
Sirui Xu, Yu-Xiong Wang, and Liang-Yan Gui · 2022
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Diffusion models: A comprehensive survey of methods and applications
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Bin Cui, and Ming-Hsuan Yang · 2022
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Can we use diffusion probabilistic models for 3d motion prediction?
Hyemin Ahn and Dongheui Mascaro, Valls Esteve an Lee · 2023
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Humanmac: Masked motion completion for human motion prediction
Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, and Tongliang Liu · 2023
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Executing your commands via motion diffusion in latent space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, and Gang Yu · 2023
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Back to mlp: A simple baseline for human motion prediction
Wen Guo, Yuming Du, Xi Shen, Vincent Lepetit, Xavier Alameda-Pineda, and Francesc Moreno-Noguer · 2023
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A generic diffusion-based approach for 3d human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi, Yasamin Medghalchi, Sara Rajabzadeh, Taylor Mordan, and Alexandre Alahi · 2023
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Human joint kinematics diffusion-refinement for stochastic motion prediction
Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, and Shengxiang Hu · 2023
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